Triple
T2769366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montagne de Reims |
E61415
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Verzy
Verzy is a French village in the Champagne region renowned for its vineyards and the nearby forest of twisted beech trees known as "Faux de Verzy."
|
E297849
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Verzy | Statement: [Montagne de Reims, hasSubregion, Verzy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verzy Context triple: [Montagne de Reims, hasSubregion, Verzy]
-
A.
Herve
Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
-
B.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
-
C.
von Le Coq
von Le Coq is the surname of Albert von Le Coq, a notable German archaeologist and explorer known for his expeditions in Central Asia.
-
D.
Semler
Semler is a German surname most notably associated with Johann Salomo Semler, an influential 18th-century biblical scholar and theologian.
-
E.
Miu Miu
Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Verzy Triple: [Montagne de Reims, hasSubregion, Verzy]
Generated description
Verzy is a French village in the Champagne region renowned for its vineyards and the nearby forest of twisted beech trees known as "Faux de Verzy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verzy Target entity description: Verzy is a French village in the Champagne region renowned for its vineyards and the nearby forest of twisted beech trees known as "Faux de Verzy."
-
A.
Herve
Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
-
B.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
-
C.
von Le Coq
von Le Coq is the surname of Albert von Le Coq, a notable German archaeologist and explorer known for his expeditions in Central Asia.
-
D.
Semler
Semler is a German surname most notably associated with Johann Salomo Semler, an influential 18th-century biblical scholar and theologian.
-
E.
Miu Miu
Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6785d88190b99f99889463a962 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc04dc7808190bb8425ed87cf74c0 |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc11fa5ec8190a0b495f6b71591ab |
completed | March 10, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc1f734dc8190a4861b05583f7018 |
completed | March 10, 2026, 7:02 a.m. |
Created at: March 6, 2026, 9:57 p.m.